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A couple hours work and we now have animations of the global anomalies: Created with the animation package in R. The code examples were a bit terse about some of the details but after fiddling about I was able to get the program to output an Html animation complete with java based playback controls. Write

Last week I was shown the results of a workplace happiness questionnaire. The plots were ripe for a makeover. Most obviously, the pointless 3D effect needs removing, and the colour scheme is badly chosen.

Code will be in the drop box in a bit, once I shower: This is a wholesale replacement of previous versions, completely rewritten in raster. It will be the base going forward. All of the analysis routines will be rewritten using raster. For time series functionality I will continue to use zoo as that

It would be nice if there were an R package, along the lines of RMySQL, for MongoDB. For now there is not – so, how best to get data from a MongoDB database into R? One option is to retrieve JSON via the MongoDB REST interface and parse it using the rjson package. Assuming, for

In the previous days I have received several emails asking for clarification of the effective sample size derivation in “Introducing Monte Carlo Methods with R” (Section 4.4, pp. 98-100). Formula (4.3) gives the Monte Carlo estimate of the variance of a self-normalised importance sampling estimator (note the change from the original version in Introducing Monte

Over the past few weeks I’ve been working at getting Moshtemp to work entirely in the raster package. I’ve been aided greatly by the author of that package, Robert, who has been turning out improvements to the package with regularity. For a while I was a bit stymied by some irregularities in getting source from

Last week, George Casella and I worked around the clock on starting the third edition of Monte Carlo Statistical Methods by detailing the changes to make and designing the new table of contents. The new edition will not see a revolution in the presentation of the material but rather a more mature perspective on what

I gave my introduction to the R course in a crammed amphitheatre of about 200 students today. Had to wear my collectoR teeshirt from Revolution Analytics, even though it only made the kids pay attention for about 30 seconds… The other few “lines” that worked were using the Proctor & Gamble “car 54″ poster and

Saptarshi Guha (author of the Rhipe package) joins the likes of Ebay, Yahoo, Twitter and Facebook and as one of just 37 presenters at the Hadoop World conference. (Revolution Analytics is proud to sponsor Saptarshi's presence at this event, which take place in New York on October 12.) He'll be talking about using R and Hadoop to analyze Voice-over-IP...

In case you missed them, here are some articles from August of particular interest to R users. We noted that R had a key role in the US government's reaction to the BP oil spill, as related by the Statistical Engineering division chief at NIST. We linked to an example of creating an animation in Google Earth based on...